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Identification of genetic variants associated with skeletal muscle function deficit in childhood acute lymphoblastic leukemia survivors

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, April 2019
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Citations

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42 Mendeley
Title
Identification of genetic variants associated with skeletal muscle function deficit in childhood acute lymphoblastic leukemia survivors
Published in
Pharmacogenomics and Personalized Medicine, April 2019
DOI 10.2147/pgpm.s192924
Pubmed ID
Authors

Geneviève Nadeau, Erika Ouimet-Grennan, Michelle Aaron, Simon Drouin, Laurence Bertout, Albert Shalmiev, Patrick Beaulieu, Pascal St-Onge, Louis-Nicolas Veilleux, Frank Rauch, Kateryna Petrykey, Caroline Laverdière, Daniel Sinnett, Nathalie Alos, Maja Krajinovic

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Student > Bachelor 6 14%
Student > Ph. D. Student 5 12%
Other 3 7%
Lecturer 3 7%
Other 8 19%
Unknown 9 21%
Readers by discipline Count As %
Medicine and Dentistry 6 14%
Nursing and Health Professions 6 14%
Unspecified 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Computer Science 2 5%
Other 9 21%
Unknown 13 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 May 2019.
All research outputs
#20,964,263
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#281,828
of 365,586 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 365,586 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them